{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import linear_model\n",
    "from sklearn.datasets import make_gaussian_quantiles\n",
    "from sklearn.preprocessing import PolynomialFeatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2c6f99e5780>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FEkJLrsQKrbgpqysLrmNfWUnNxjkEkIDIy2jkxfpGEBr7HHwvgj3bxFIRkBCU3okEtm+3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c6f998e240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 生成2维正态分布，生成的数据按分位数分为两类，500个样本,2个样本特征\n",
    "# 可以生成两类或多类数据\n",
    "x_data, y_data = make_gaussian_quantiles(n_samples=500, n_features=2,n_classes=2)\n",
    "\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n",
       "          penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
       "          verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logistic = linear_model.LogisticRegression()\n",
    "logistic.fit(x_data, y_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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acsEV60lJ1SNfckW1Qgc33LXSmmyUgOzcAGkZsY3UFJWYWLnDKbnk+nUtruPL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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c6f9932eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score: 0.51\n"
     ]
    }
   ],
   "source": [
    "# 获取数据值所在的范围\n",
    "x_min, x_max = x_data[:, 0].min() - 1, x_data[:, 0].max() + 1\n",
    "y_min, y_max = x_data[:, 1].min() - 1, x_data[:, 1].max() + 1\n",
    "\n",
    "# 生成网格矩阵\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.02),\n",
    "                     np.arange(y_min, y_max, 0.02))\n",
    "\n",
    "# np.r_按row来组合array， \n",
    "# np.c_按colunm来组合array\n",
    "# >>> a = np.array([1,2,3])\n",
    "# >>> b = np.array([5,2,5])\n",
    "# >>> np.r_[a,b]\n",
    "# array([1, 2, 3, 5, 2, 5])\n",
    "# >>> np.c_[a,b]\n",
    "# array([[1, 5],\n",
    "#        [2, 2],\n",
    "#        [3, 5]])\n",
    "# >>> np.c_[a,[0,0,0],b]\n",
    "# array([[1, 0, 5],\n",
    "#        [2, 0, 2],\n",
    "#        [3, 0, 5]])\n",
    "z = logistic.predict(np.c_[xx.ravel(), yy.ravel()])# ravel与flatten类似，多维数据转一维。flatten不会改变原始数据，ravel会改变原始数据\n",
    "z = z.reshape(xx.shape)\n",
    "# 等高线图\n",
    "cs = plt.contourf(xx, yy, z)\n",
    "# 样本散点图\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)\n",
    "plt.show()\n",
    "\n",
    "print('score:',logistic.score(x_data,y_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Fs7R4GBpaW+fAOfIMyq//wjyf/e0p/u6/e564poVyCbkjkFfIRCI09LAOvSHC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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c6f0bbb9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score: 0.988\n"
     ]
    }
   ],
   "source": [
    "# 定义多项式回归,degree的值可以调节多项式的特征\n",
    "poly_reg  = PolynomialFeatures(degree=5) \n",
    "# 特征处理\n",
    "x_poly = poly_reg.fit_transform(x_data)\n",
    "# 定义逻辑回归模型\n",
    "logistic = linear_model.LogisticRegression()\n",
    "# 训练模型\n",
    "logistic.fit(x_poly, y_data)\n",
    "\n",
    "# 获取数据值所在的范围\n",
    "x_min, x_max = x_data[:, 0].min() - 1, x_data[:, 0].max() + 1\n",
    "y_min, y_max = x_data[:, 1].min() - 1, x_data[:, 1].max() + 1\n",
    "\n",
    "# 生成网格矩阵\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.02),\n",
    "                     np.arange(y_min, y_max, 0.02))\n",
    "\n",
    "# np.r_按row来组合array， \n",
    "# np.c_按colunm来组合array\n",
    "# >>> a = np.array([1,2,3])\n",
    "# >>> b = np.array([5,2,5])\n",
    "# >>> np.r_[a,b]\n",
    "# array([1, 2, 3, 5, 2, 5])\n",
    "# >>> np.c_[a,b]\n",
    "# array([[1, 5],\n",
    "#        [2, 2],\n",
    "#        [3, 5]])\n",
    "# >>> np.c_[a,[0,0,0],b]\n",
    "# array([[1, 0, 5],\n",
    "#        [2, 0, 2],\n",
    "#        [3, 0, 5]])\n",
    "z = logistic.predict(poly_reg.fit_transform(np.c_[xx.ravel(), yy.ravel()]))# ravel与flatten类似，多维数据转一维。flatten不会改变原始数据，ravel会改变原始数据\n",
    "z = z.reshape(xx.shape)\n",
    "# 等高线图\n",
    "cs = plt.contourf(xx, yy, z)\n",
    "# 样本散点图\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)\n",
    "plt.show()\n",
    "\n",
    "print('score:',logistic.score(x_poly,y_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
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}
